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Data Engineer

Job in Detroit, Wayne County, Michigan, 48228, USA
Listing for: CNS Healthcare
Full Time position
Listed on 2026-05-30
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Science Manager, Data Security
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below

Description

The Data Engineer will design, build, and maintain secure, scalable data pipelines, integrations, and data platforms that support CNS Healthcare’s clinical, operational, quality, and billing functions.

What we are looking for:

CNS Healthcare, a leading provider of Mental Health Services in southeast Michigan is seeking a Data Engineer to join our dynamic and fast-paced team. The Data Engineer is responsible for enabling secure exchange of healthcare data, particularly involving State of Michigan CHAMPS systems for direct billing, while ensuring strict adherence to HIPAA and other regulatory requirements governing PHI/PII.

  • Employer-paid benefits including dental, vision, life, and short-term disability insurance
  • Retirement program with generous company default contribution and match
  • Generous PTO program starting at 18 days annually
  • 16 paid holidays, including 3 floating holidays
  • Paid parental leave
  • Student loan forgiveness eligibility, including Public Service Loan Forgiveness (PSLF), HRSA, and more
Interested in learning more about this role?
  • Design, develop, and maintain scalable ETL/ELT pipelines to ingest, process, and transform healthcare data from EHRs, billing systems, quality systems, HR systems, and external partners.
  • Ensure high data quality through validation, cleansing, reconciliation, observability, and monitoring processes.
  • Support real-time and batch data workflows for clinical reporting, analytics, quality measures, CCBHC reporting, and billing operations.
  • Build reusable data assets and pipelines that support operational reporting, revenue cycle analytics, quality bonus reporting, and executive dashboards.
Data Engineering & Pipeline Development
  • Design, develop, and maintain scalable ETL/ELT pipelines to ingest, process, and transform healthcare data from EHRs, billing systems, quality systems, HR systems, and external partners.
  • Ensure high data quality through validation, cleansing, reconciliation, observability, and monitoring processes.
  • Support real-time and batch data workflows for clinical reporting, analytics, quality measures, CCBHC reporting, and billing operations.
  • Build reusable data assets and pipelines that support operational reporting, revenue cycle analytics, quality bonus reporting, and executive dashboards.
Proactive Solutions Platform Support & Production Readiness
  • Support and extend the Proactive Solutions data platform and related reporting tools, including the Productivity Report and future data mart / analytics capabilities.
  • Partner with Proactive Solutions, CNS IT leadership, and the data team to move the platform from development to production in a secure, supportable manner.
  • Help define and implement production support practices, including deployment procedures, release management, environment configuration, monitoring, incident response, and issue escalation.
  • Ensure the platform can be maintained by CNS over time through clear documentation, knowledge transfer, runbooks, and repeatable support processes.
  • Design solutions that allow CNS to evolve toward a longer-term architecture without requiring unnecessary rebuilds.
AI, LLM, and Agentic Data Engineering Enablement
  • Support AI-assisted and agentic data engineering capabilities, including secure use of tools such as Git Hub Copilot, Open Code, Azure OpenAI, OpenAI, Anthropic, or other approved enterprise AI services.
  • Help implement secure BYOK/API-key patterns where appropriate, including credential management, access controls, audit logging, usage monitoring, and vendor compliance requirements.
  • Collaborate with IT leadership and vendors to ensure that any AI-enabled coding, data query, or analytics capabilities are implemented in a HIPAA-compliant and security-approved manner.
  • Assist in evaluating AI tool performance, cost, security posture, and operational fit for CNS’s data engineering and analytics workflows.
  • Develop practical patterns for using AI safely to accelerate SQL development, pipeline generation, documentation, test generation, data quality checks, and troubleshooting.
Healthcare Data Integration & Interoperability
  • Build and maintain secure interfaces and integrations with Michigan CHAMPS (Community Health…
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